Abstract
The dragonfly algorithm (DA) is a new metaheuristic optimization algorithm, which is based on simulating the swarming behavior of dragonfly individuals. This algorithm was developed by Mirjalili (2016) and the preliminary studies illustrated its potential in solving numerous benchmark optimization problems and complex computational fluid dynamics (CFD) optimization problems. In this chapter, the natural process behind a standard DA is described at length.
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Zolghadr-Asli, B., Bozorg-Haddad, O., Chu, X. (2018). Dragonfly Algorithm (DA). In: Bozorg-Haddad, O. (eds) Advanced Optimization by Nature-Inspired Algorithms. Studies in Computational Intelligence, vol 720. Springer, Singapore. https://doi.org/10.1007/978-981-10-5221-7_15
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DOI: https://doi.org/10.1007/978-981-10-5221-7_15
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